When considering migrating your data to the cloud, everyone’s familiar with the three major cloud providers – AWS, Google Cloud, and Microsoft Azure. But there are a few other players you should also take note of. Snowflake is a leading cloud data platform that offers exceptional design, scalability, simplicity, and return on investment (ROI).

What is Snowflake?

The Snowflake cloud data platform was born in the cloud for data warehousing. It’s built entirely to maximize cloud usage and designed for almost unlimited scalability. Users like the simplicity, and businesses gain significant ROI from the wide range of use cases Snowflake supports.

Out of the box, Snowflake is easy to interact with through its web interface. Without having to download any applications, users can connect with Snowflake and create additional user accounts for a fast and streamlined process. Additionally, Snowflake performs as a data platform, rather than just a data warehouse. Data ingestion is cloud native and existing tools enable effortless data migration.

Business Drivers

The decision to migrate data to a new cloud environment, or data warehousing solution, needs to be based on clearly defined value. Why are you making the transition? What’s your motivation? Maybe you need to scale up, or there’s some sort of division or business requirement for migration. Often times, companies have a particular implementation that needs to change, or they have specific needs that aren’t being met by their current data environment.

Take one of our clients, for instance. When the client’s company was acquired, they came to utilize a data warehouse shared by all the companies the acquiring company owned. When the client was eventually sold, they needed their own implementation and strategy for migrating data into the cloud. Together, we took the opportunity to evaluate some of the newer data platform tools, like Snowflake, for their specific business case and to migrate quickly to an independent data platform.

With Snowflake, set up was minimal and supported our client’s need for a large number of database users. Migrating from the shared data warehouse to Snowflake was relatively easy, and it gave all users access through a simple web interface. Snowflake also provided more support for unstructured data usage, which simplified querying things like JSON or nested data.

Implementation

Migrating data to Snowflake is generally a smooth transition because Snowflake accepts data from your existing platform. For instance, if data is stored in Amazon S3, Google Cloud, or Azure, you can create Snowflake environments in each then ingest the data using SQL commands and configuration. Not only can you run all the same queries with minor tweaks and get the same output, but Snowflake also fits additional needs and requirements. If you’ve worked in SQL in any manner – on an application database, or in data warehousing – training is minimal.

Another advantage with Snowflake is its ability to scale either horizontally or vertically to pull in any amount of data. And since it is cloud native, Snowflake has embraced the movement toward ‘pay as you go’ – in fact, that’s their entire structure. You only pay for the ingestion time and when the data warehouse is running. After that, it shuts off, and so does your payment. Cost-effective implementation lets you experiment, compare, test, and iterate on the best way to migrate each piece of your data lifecycle.

Long Term Results

Snowflake has yielded successful data migrations with users because of its ease of use and absence of complications. Users also see performance improvements because they’re able to get their data faster than ever and they can grow with Snowflake, bringing in new and additional data sources and tools, taking advantage of artificial intelligence and machine learning, increasing automation, and experimenting and iterating.

From a security and governance perspective, Snowflake is strong. Snowflake enforces a multi-layer security structure, including user management. You can grant access to certain groups, organize them accordingly, integrate with your active directory, and have it run with those permissions. You assign an administrator to regulate specific accessibility for tables in specified areas. Snowflake also lets you choose your desired security level during implementation. You have the option of enterprise level, HIPAA compliance, and a maximum security level with a higher rate per second.

Do you want to explore data migration opportunities? Make the most of your data by partnering with trusted experts. We’re here to help you migrate, store, and utilize data to grow your business and streamline operations. If you’re ready to the next step in your data journey, Contact Us.

Learn more about 2nd Watch Data and Analytics services

-Sam Tawfik, Sr Product Marketing Manager, Data & Analytics

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